The Dynamic Analysis of Actual Travel Demand for Local Public Transport Based on Data Envelopment Analysis

2017 ◽  
Vol 52 (3) ◽  
pp. 802-809
Author(s):  
Daisuke Yoshino ◽  
Eiji Hato
Keyword(s):  
Data Envelopment Analysis ◽  
Dynamic Analysis ◽  
Public Transport ◽  
Travel Demand ◽  
Data Envelopment

scholarly journals R&D in Europe: Sector Decomposition of Sources of (in)Efficiency

2020 ◽  
Vol 12 (4) ◽  
pp. 1432 ◽  
Author(s):  
Tihana Škrinjarić
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Missing Data ◽  
Research And Development ◽  
Dynamic Analysis ◽  
Innovation Policy ◽  
Private Higher Education ◽  
European Countries ◽  
Data Envelopment ◽  
Over Time

Measuring the efficiency of research and development (R&D) expenditure and innovation policy has gained attention in recent years. This research examines the efficiency of 29 selected European countries for the period ranging from 2007 to 2017 in achieving and obtaining R&D goals. The methodology applied is the data envelopment analysis approach with the inclusion of the missing data approach. The contributions of this research include the following: dynamic analysis is conducted to track changes of (in)efficiencies over time; the decomposition of the efficiency is done by separating the main variables of interest into the private, higher education, and government sectors; and the robustness of the results is evaluated, which is often ignored in the literature. The results of the analysis are discussed with possible directions for inefficient countries. The rankings provided in the empirical part of the study confirm previous findings on disparities between the European countries with respect to innovation and the R&D sector.

scholarly journals Economic Evaluation of the Urban Road Public Transport System Efficiency Based on Data Envelopment Analysis

2021 ◽  
Vol 12 (1) ◽  
pp. 57
Author(s):  
Alberto Romero-Ania ◽  
María Auxiliadora De Vicente Oliva ◽  
Lourdes Rivero Gutiérrez
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Data Envelopment Analysis ◽  
Public Transport ◽  
Urban Areas ◽  
Road Transport ◽  
City Council ◽  
Pollutant Emission ◽  
Data Envelopment ◽  
Public Road

Air pollution resulting from massive urban development and increased use of private vehicles is a major environmental concern, with particular relevance in urban areas. Urban public road transport has a significant impact on shaping land use patterns, air pollution and welfare. It must therefore be efficient in terms of air pollution in order to contribute to sustainable metropolitan mobility and economic growth. This study proposes a novel and consistent data envelopment analysis, aiming to identify which urban public transport vehicle is the most efficient in terms of air pollution and therefore environmentally suitable for use in public road transport systems. The case of Madrid has been analyzed, as it is representative of other large cities, which have similar bus alternatives and the common objective of reducing air pollution. Madrid City Council data has been compiled by authors and assessed by a panel of twenty experts to determine the model criteria weights. The results show that the plug-in electric vehicle has the lowest pollutant emission values while delivering the highest performance. Useful recommendations are provided to support public policy decisions related to the complex relationships between urban land use, urban transport and air pollution in urban areas.

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